Dr Linh Nguyen

PhD in Finance (university of exeter)

Department: Accounting
E-mail: linh.nguyen2@nottingham.ac.uk
Location: B22 (Si Yuan Building, Jubilee Campus)

Linh H. Nguyen obtained his PhD in Finance from the University of Exeter. Before joining the University of Nottingham, Linh worked as a Research Analyst at Spinnaker Capital Limited and Broad Reach Investment Management LLP in London. He also served as a Senior Lecturer in Accounting and Finance at De Montfort University.
His research interests lie in asset pricing, risk modeling, portfolio optimization, cryptocurrencies, and the application of Artificial Intelligence in Finance. Linh's research has been published in various academic journals, including the Journal of Empirical Finance, the Journal of International Financial Markets, Institutions and Money, Quantitative Finance, and the International Journal of Finance & Economics, among others.
Linh also serves as a referee for the International Review of Financial Analysis, the Journal of International Money and Finance, the Journal of Forecasting, the International Journal of Finance & Economics, and other finance outlets.
Since 2012, Linh has held the CFA Charterholder designation. Additionally, he currently holds the position of Senior Manager of Empowerment and Intellectual Advancement at the Finance and Banking Network (FBNet), a division of the Association of Vietnamese Scientists and Experts Global (AVSE Global).


Areas of Expertise
Machine Learning in Finance, Cryptocurrency, Asset Pricing, Risk Modelling, Portfolio Optimisation

 

Recent Publications

The following lists my publications from 2014 to the present day.

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Linh is module convenor of the following module(s):

MSc

Programming for FinTech (BUSI4624)


Details of all modules can be found on MyNottingham

Linh has been working on a number of studies surrounding the tail risk of financial assets and the related implications for investment strategies and portfolio optimization. His research examines the tail risk of both individual entities and their connected networks at various levels of aggregation, ranging from cryptocurrencies, firms, industries, and countries in international markets.
Linh is currently working on research exploring the use of machine learning techniques to enhance the portfolio optimization and investment performance of fund managers.